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Table 1 Detailed information on the parameters in compiled database used in this neural network

From: Investigation of the relationship between geomagnetic activity and solar wind parameters based on a novel neural network (potential learning)

No.

Input Parameters

Unit

1

\({\mathrm{B}}_{\mathrm{X}}\) [IMF GSM-X component]

nT

2

\({\mathrm{B}}_{\mathrm{Y}}\) [IMF GSM-Y component]

nT

3

\({V}_{\mathrm{X}}\) [Solar wind velocity in GSM]

km/s

4

\({N}_{\mathrm{P}}\) [Ion number density]

/cm3

5

\(B_{\rm{s}}^\dag\) [Southward IMF GSM-Z component]

nT

\(B_{\rm{s}}^\dag = \left\{ {\begin{array}{*{20}{c}} {0\,({B_z} > 0),}\\ {{B_z}\;\left( {{B_{\rm{z}}} \le 0} \right).} \end{array}} \right.\)

  1. These input solar wind parameters are normalized in the range between 0 and 1 using the equation of x’ = (x – min(x))/(max(x) – min(x))